MGH antisaccade error processing (fMRI and MEG/EEG)
Dissociable Genetic Contributions to Error Processing: A Multimodal Neuroimaging Study
Brain MRI with antisaccade task fMRI of healthy adults and people with schizophrenia, OCD or autism, who also did the same task during simultaneous MEG and EEG, collected to test how DRD4 and MTHFR variants relate to two error markers. On request only.
Overview
This entry covers the imaging sample of a clinical study of error processing at Massachusetts General Hospital and the Martinos Center in Boston. Agam et al. (PLoS ONE 2014) had the same people perform an antisaccade task once during functional MRI and once during simultaneous MEG and EEG, then asked whether two genetic variants, DRD4 C-521T and MTHFR C677T, act differently on two error signals: error-related activation of the dorsal anterior cingulate in fMRI and the error-related negativity in EEG. The images were not released; they can be requested from the corresponding author.
Composition
Of 144 enrolled participants, 105 completed both the fMRI and the MEG/EEG session, and 92 had at least 10 usable error trials in each. These 92 (62 male, mean age 36, SD 13) comprise 33 healthy adults, 28 people with schizophrenia, 18 with obsessive-compulsive disorder and 13 with autism spectrum disorder. Each was genotyped from saliva for the two variants, and 74 were classed as Caucasian by self-report and ancestry markers. Fifty of them were part of an earlier analysis of MTHFR and error-related activation.
Acquisition
MRI used a Siemens Trio at 3 T, with a 12-channel head coil for 82 participants and a 32-channel coil for 10 healthy participants. The protocol had a sagittal MP-RAGE, a multi-echo FLASH used to build the head model for MEG/EEG source estimation, and six gradient-echo BOLD runs of the antisaccade task (TR 2 s), with eye tracking in the scanner. The same task was run eight times during MEG (306-sensor Neuromag VectorView) and 70-channel EEG.
Annotations
No image annotations. Per-participant labels in the study are diagnosis, genotype, antisaccade error rate and reaction time, error-related dACC activation and ERN amplitude.
Known limitations
- Not public. Access is on request for researchers who meet the criteria of the Partners Human Research Committee; no terms are published.
- The figshare record linked to the paper holds only a supplementary source-estimate figure and a table, no scans.
- Sex is reported only for the whole sample, and age only as mean and SD.
- MEG and EEG recordings are part of the study but have no modality term in this index.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 92 subjects.
Sex
- Male 62 100%
Covers 62 of 92 subjects.
Methods: Participants in Agam et al. 2014, PLoS ONE 9(7) e101784
Contrast / sequence
Groups can overlap
- T1-weighted 92 100%
- Multi-echo gradient echo 92 100%
- BOLD fMRI 92 100%
Methods: MRI acquisition in Agam et al. 2014, PLoS ONE 9(7) e101784
Scanner vendor
- Siemens Healthineers 92 100%
Methods: MRI acquisition in Agam et al. 2014, PLoS ONE 9(7) e101784
Age
mean 36 ± 13
No age bins reported.
Methods: Participants in Agam et al. 2014, PLoS ONE 9(7) e101784
Condition
Groups can overlap
- Healthy control 33 36%
- Schizophrenia 28 30%
- Obsessive-compulsive disorder 18 20%
- Autism spectrum disorder 13 14%
Methods: Participants; Table 2 in Agam et al. 2014, PLoS ONE 9(7) e101784
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Ask the authors or the data holder. No published process or terms, and access is at their discretion
The data availability statement says the data are available on request from the corresponding author (Dara S. Manoach) for researchers who meet the criteria of the Partners Human Research Committee for access to confidential data. The linked figshare item holds only the supplementary figure and table.
No published license or data use terms
The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.
The paper names the Partners Human Research Committee criteria as the condition for access but publishes no license or data use terms. The CC BY 4.0 license of the article and figshare item covers the text and supplementary files, not the participant data.
What you can do
- Commercial use Not stated
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Publish results Not stated
What you can share
- Share the data Not stated
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Cite or credit Not stated
- Share alike Not stated
- Sign an agreement Not stated
- Ethics approval Not stated
- Manuscript review Not stated
- Release code Not stated
- Return results Not stated
- Delete after use Not stated
Limits
- No re-identification Not stated
- Location limits Not stated
Citation
Agam Y, Vangel M, Roffman JL, Gallagher PJ, Chaponis J, Haddad S, Goff DC, Greenberg JL, Wilhelm S, Smoller JW, Manoach DS. Dissociable Genetic Contributions to Error Processing: A Multimodal Neuroimaging Study. PLoS ONE 9(7): e101784 (2014). doi:10.1371/journal.pone.0101784
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.